Pengcheng Wang

University of Houston

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Wen-Da Wang

Lanzhou University of Technology

Shao Changzheng

Changhong (China)

Momiao Zhou

Hefei University of Technology

Zhizhong Ding

Hefei University of Technology

Shaowei Zhang

Chengdu University of Information Technology

Haichen Li

China Institute of Water Resources and Hydropower Research

Linqing Li

National Institutes of Health

Debao Li

Hefei University of Technology

Zhehao Pei

Hefei University of Technology

Jian Wanh

Beihang University

Cooperative Institutions

Hefei University of Technology

Chinese Academy of Sciences

University of Science and Technology of China

Zhejiang University

Sichuan University

Shanghai Jiao Tong University

Huazhong University of Science and Technology

University of Chinese Academy of Sciences

China Academy of Railway Sciences

Dalian University of Technology

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Evaluation of Social Stability Risk of Adjusting Goods Vehicle Calculation Method Based on Optimal Combination Weighting—Cloud Model

Sustainability (2022)

Pengyun Chong Yin Hui Chaofeng Wang Pengcheng Wang Linqing Li

In order to solve the social stability risk problem of the adjusting goods vehicle calculation method (AGVCM) in the cancellation of toll stations at expressway provincial boundaries, a social stability risk evaluation model was proposed. Firstly, based on the possible time stages of the AGVCM, we built the social stability risk evaluation index system of the AGVCM including 4 levels, 3 grades, and 60 indicators. Secondly, we used the semantic information of cloud model to transform qualitative description and quantitative evaluation, calculated the risk level for social stability risk evaluation of AGVCM according to an integrated cloud algorithm, and proposed an optimal combination weighting—cloud model for the social stability risk evaluation of AGVCM. Finally, the feasibility of the evaluation model is verified by a case study in Yunnan province in China. The results showed that the cloud model’s numerical characteristic of social stability risk evaluation of AGVCM in Yunnan based on the optimal combination weighting—cloud model is (0.28, 0.073, 0.0008), implying the risk level is “small” and the conclusion is basically consistent with current standards. The model contains rich process information, which is helpful to better effectively eliminate the subjectivity and arbitrariness in the evaluation process of identifying the key factors affecting the project risk level.

10.3390/su142417057

Cite

Citations (1)

Analysis of Shielding Effect of A Pile Group to Shield Tunneling nearby Pile Foundation of Viaduct

Tunnel Construction (2016)

Pengcheng Wang Shao Changzheng Zhi Liu

Foundation (evidence)

10.3973/j.issn.1672-741x.2016.07.004

Cite

Citations (0)

Cooperative Autonomous Driving for Urban Intersections Assisted by Vehicular Sensor Networks

Journal of Circuits Systems and Computers (2022)

Momiao Zhou Pengcheng Wang Zhizhong Ding Zhengqiong Liu Jian Niu

The current autonomous driving vehicles cannot collaborate with each other due to the disconnection of sensors between vehicles, which leads to poor performance in traffic efficiency and safety. Recently, with the development of wireless intelligent sensors, vehicular sensor network (VSN) is emerging to provide information sharing between vehicles, so that cooperative autonomous driving (CAD) can be enabled. This paper especially investigates the VSN-assisted straight-going CAD at urban intersections under the rule of traffic signals. First, the function of VSN is presented, and the information sharing mechanism is designed. Then distributed stop-and-go strategies with maintaining the optimal safety spacing between adjacent vehicles are proposed for multiple traffic cases. With the proposed strategies, every vehicle can get an exact time to decelerate or accelerate at signalized intersections. Finally, we use the model predictive control (MPC) scheme to actuate our strategies, and it is demonstrated that vehicles perform well in both passage safety and efficiency as expected.

Disconnection

10.1142/s0218126623500056

Cite

Citations (1)

Interfacial friction effects on sealing performances of elastomer packer

Petroleum Science (2023)

Pengcheng Wang Minghui Chen Jim Jenkinson Yongxin Song Li Sun

Elastomer sealing performance is of critical importance for downhole tools application including the use of fracturing (Frac) plugs during multi-stage hydraulic fracking. In practice sealing performances of such plugs are normally evaluated through pressure tests, and in numerical simulation studies, maximum contact stress, average contact stress and contact length data are used to determine sealing quality between a packer and casing. In previous studies, the impact of friction forces on sealing performance is often overlooked. This work aims to fill this knowledge gap in determining the influence of friction forces on elastomer packer sealing performances. We first determined the most appropriate constitutive hyperelastic model for the elastomers used in frac plug. Then we compared analytical calculation results with Finite Element Analysis simulation using a simplified tubular geometry and showed the significant influences on interfacial friction on elastomer packer stress distribution, deformation, and contact stress after setting. With the demonstration of validity of FEA method, we conducted systematic numerical simulation studies to show how the interfacial friction coefficients can affect the maximum contact stress, average contact stress, contact stress distribution, and maximum mises stress for an actual packer used in plug products. In addition, we also demonstrated how the groove in a packer can affect packer deformation and evolvement during setting with the consideration of interfacial stress. This study underscores the critical role that friction forces play in Frac plug performance and provides a new dimension for optimizing packer design by controlling interfacial interactions at the packer contact surfaces.

Contact Mechanics

Contact analysis

Spark plug

Hyperelastic material

Contact area

10.1016/j.petsci.2023.11.015

Cite

Citations (1)

Back Analysis and Grading Evaluation of Surrounding Rock Primary Stress in a Railway Tunnel

Journal of Beijing University of Technology (2010)

Pengcheng Wang

The study and evaluation of primary stress of tunnel surrrounding rocks is a necessary premise of conducting stability analysis of surrounding rocks and achieving and quick safe tunnel excavation.Two methods,including displacement back analysis and in-situ geological structure stress analysis,are taken to conduct grading cvaluation on primary stress condition in a railway tunnel.The study results show that the direction of paralleling axis of the tunnel on cross section is the direction of maximum main stress,and both the maximum main stress and the minimum main stress in surrounding rocks are larger than self-weight stress,and the ratio of stress to strength in surrounding rocks will be large.Therefore,the surrounding primary stress state in the tunnel is in high level earth stress.

Grading (engineering)

Railway tunnel

Source

Cite

Citations (0)

Optimization Analysis of Deformation of Underlying Tunnel in Dewatering and Excavation of Phreatic Aquifer

Advances in Materials Science and Engineering (2019)

Jing Wang Pengcheng Wang Wen-Da Wang Shouqiang Zhou Xiang Fang

This paper theoretically analyzed the deformation law of the underlying tunnel caused by dewatering and excavation of deep foundation pit in the phreatic aquifer area, which is based on the Mindlin solution and the double-sided elastic foundation beam theory, and used the finite difference method and the fluid-solid coupling principle to conduct three-dimensional numerical simulation of dewatering and excavation of deep foundation pit with fluid-solid coupling by using FLAC3D5.00. This research shows that the layered and segmented excavation method from the middle to the end by dewatering the skip layer has a better effect on optimizing the deformation of the underlying tunnel through the simulation of three excavation methods and two dewatering schemes crossing each other, which is about 2.5% less than the layer-by-layer dewatering scheme. In addition, the deformation law of the simulated value is the same as the theoretical value, and the simulated value is slightly larger than the theoretical value. Underlying tunnel only just exists vertical deformation at the direct center of the foundation pit, and the maximum deformation is about 3.054 mm under the dewatering well of the jumping layer and W 3. With the dewatering of jumping layer and the third excavation mode (W3), underlying tunnel only just exists lateral displacement at the position where is the retaining structure, and the maximum displacement is 1.606 mm.

Dewatering

Phreatic

Foundation (evidence)

10.1155/2019/2461817

Cite

Citations (10)

Design and fabrication of carbon-fiber-wound composite pressure vessel with HDPE liner

International Journal of Pressure Vessels and Piping (2022)

Qiaoguo Wu Lei Zu Pengcheng Wang Zhen Liu Qian Zhang

Filament winding

10.1016/j.ijpvp.2022.104851

Cite

Citations (12)

BiLSTM for Predicting Post-Construction Subsoil Settlement under Embankment: Advancing Sustainable Infrastructure

Sustainability (2023)

Liyang Wang Taifeng Li Pengcheng Wang Zhenyu Liu Qianli Zhang

The load and settlement histories of stage-constructed embankments provide critical insights into long-term surface behavior under embankment loading. However, these data often remain underutilized in predicting post-construction settlement in the absence of geotechnical subsoil characterization. To address this limitation, the current study integrates bidirectional long short-term memory (BiLSTM) into a three-phase framework: data preparation, model construction, and performance evaluation. In the data preparation phase, the feature vector comprises basal pressure, pressure increments, time intervals, and prior settlement values to facilitate a rolling forecast. To manage unevenly spaced data, an Akima spline standardizes the desired time intervals. The model’s efficacy is validated using observational data from two distinct construction case studies, each featuring diverse soil conditions. BiLSTM proves effective in identifying key attributes from load and settlement data during the staged construction process. Compared to traditional curve-fitting methods, the BiLSTM model exhibits superior performance, robustness, and adaptability to varying soil conditions. Additionally, the model demonstrates low sensitivity to the range of post-construction data, allowing for a data collection period reduction—from six months to three—without compromising prediction accuracy (relative error = 0.92%). These advantages not only optimize resource allocation but also contribute to broader sustainability objectives.

Subsoil

Robustness

Adaptability

Settlement (finance)

10.3390/su152014708

Cite

Citations (0)

Plane creep model of loess.

Acta Scientiarum Naturalium Universitatis Sunyatseni (2017)

Guo Hong Luo Ya-sheng HU Lianxin Pengcheng Wang

Source

Cite

Citations (1)

Experimental study on spatial characteristics of filamentation and propagation of ultrashort pulse laser

Pengcheng Wang Zhehao Pei Zhong Fu Nianwen Xiang Haichen Li

The induction effect of air gap discharge induced by ultrashort pulse laser will be affected by the characteristics of laser ionization filamentation. In order to study the spatial characteristics of ultrashort pulse laser ionization filamentation and propagation. Firstly, an experimental platform for studying the spatial characteristics of ultrashort pulse laser ionization filamentation and propagation is established. Then the axial and radial high-resolution optical images of filaments under the conditions of different focal length auxiliary focusing lens are obtained by using the combination of axial and radial detection method. The effectiveness of this observation method is proved by contrasting with the self-focusing and multiple filament correlation theory. By analyzing the relationship between the filament diameter and the laser propagation distance under the condition of 1m and 5m focal length lens assisted focusing, the effects of micro focusing and tight focusing on the filament distance are obtained. The experimental results show that the filament will continue to travel forward for a certain distance with the minimum optical diameter after reaching the minimum optical diameter in the micro focusing mode. So we can obtain a stable plasma channel in this way; In the tight focusing mode, the defocus effect of plasma plays a leading role in the laser propagation process faster. So the filament will disappear rapidly after reaching the minimum optical diameter, which is not conducive to the long-distance filament transmission.

Filamentation

Self-focusing

Plasma channel

10.1117/12.2628604

Cite

Citations (0)